Not every promoter or enhancer that matters to your trait is already known. Annogen uses genome-wide SuRE™ to screen a crop’s own regulatory DNA at scale, measured directly in cells from your crop, and surface the promoters and enhancers active in a specific tissue or under a specific condition. You get a genome-wide functional profile of all native elements active exactly where and when your trait needs expression to allow pin-pointing the dials you need to tune to unlock previously-impossible traits.
Classical trait work reaches for the same viral or constitutive promoters again and again. That limits you twice: these parts rarely give the tissue or condition specificity a modern trait needs, and reusing one promoter across a multi-gene construct invites homology-dependent silencing.
Genome-wide SuRE™ takes a different route. We fragment the crop’s genome into millions of pieces, tag each with dozens of barcodes, and measure the regulatory activity of every fragment in parallel, directly in protoplasts from the relevant tissue. Run the same library under a defined condition, a pathogen elicitor, a hormone, drought or heat, and compare: the elements specifically active in that tissue, or induced by that condition, stand out from the background. The result is a ranked catalog of the crop’s own promoters and enhancers, each with a measured strength and specificity, not a shortlist inferred from sequence.
The elements come from the crop’s own genome, if desired from your own elite line, not from viral or borrowed sequences. That suits cisgenic strategies, sits more comfortably with regulatory and consumer positioning, and, because the elements are new to the field, supports a competitive IP position.
Because we screen in protoplasts from different plant tissues and (a)biotic conditions (those that can be mimicked in protoplasts), an element is only called tissue-specific or inducible when it is active where you want it and quiet where you do not. Specificity is measured by comparison, not assumed.
Discovery returns many elements across a range of strengths. You can then drive several genes in one construct with distinct promoters, avoiding the repeat-induced silencing that undermines stacked traits when the same promoter is used more than once.
Root, seed, fruit, leaf, guard-cell and other tissue-restricted expression for trait genes.
Pathogen-, drought-, heat- or hormone-responsive elements, so a trait gene is expressed only when and where it is needed, avoiding the yield drag that constitutive expression can cause.
Enhancers that raise expression of an endogenous or introduced gene to a commercially useful level.
Crop-native replacements for 35S-type promoters, for cleaner constructs and a stronger regulatory position.
A matched set of distinct native promoters and enhancers for multi-gene constructs, chosen across the strength range you need.
What a project looks like depends on the crop, trait and candidate sequence space. Typically, it involves these steps:
SuRE™ is a massively parallel reporter assay: it measures the true regulatory activity of DNA in living plant cells, rather than predicting it from sequence. Genome-derived fragments or synthesized promoters, enhancers and other regulatory sequences, are each tracked by dozens of barcodes, giving the sensitivity to separate genuine tissue- and condition-specific elements from screening noise across an entire genome in a single experiment. SuRE™ is unversally applicable to any organism, germplasm, tissue and condition of interest.
Let’s start with your crop.
Tell us the trait, the gene and the change you are chasing, and we will show you how SuRE™ can de-risk the regulatory decisions ahead, before they reach a plant.
Targeted screening refines and optimizes elements you already have. Genome-wide discovery finds elements you did not know existed, from the crop’s own genome, selected for a defined tissue or condition. Many programs use both: discover first, then optimize the best
Individual elements are usually around 500 base pairs, which captures most core promoter and enhancer activity. Plant promoters can run to several kilobases, so longer elements are possible with additional design steps, and the elements in a library do not all need to be the same length.
Yes. By running the same library under a defined condition and comparing, we identify elements induced by, for example, a pathogen elicitor, drought or a hormone, not only elements restricted to a tissue. We are however transparent that, as genome-wide screening libraries are performed in protoplasts, we can only test conditions that can be mimicked in vitro.
We use protoplasts from the relevant tissue rather than a single generic system, so the screen reflects real plant biology as closely as possible at that stage, and we validate the strongest candidates in planta. Where clients including KeyGene and KWS have fed back on in-planta performance, the trends measured in the screen consistently holds up.
You do. The elements and data from your project are yours to protect and use, while Annogen retains the SuRE™ platform.
We imagine there could be some questions you want to ask us. Discover the most frequently asked questions about this subject right here.
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